Dr Slava Vaisman
Senior Lecturer
Mathematics
+61 7 336 53264
Building 69, Room 716
Personal page
Dr Slava Vaisman's personal page
Teaching and learning
Dr Vaisman teaches 4th year advanced probability and stochastic processes.
Researcher biography
Radislav (Slava) Vaisman is a faculty member in the School of Mathematics and Physics at the University of Queensland. Radislav earned his Ph.D. in Information System Engineering from the Technion, Israel Institute of Technology in 2014. Radislav's research interests lie at the intersection of applied probability, statistics, and computer science. Such a multidisciplinary combination allows him to handle both theoretical and real-life problems, in the fields of machine learning, optimization, safety, and system reliability research, and more. He has published in top-ranking journals such as Statistics and Computing, INFORMS, Journal on Computing, Structural Safety, and IEEE Transactions on Reliability. The Stochastic Enumeration algorithm, which was introduced and analyzed by Radislav Vaisman, had led to the efficient solution of several problems that were out of reach of state of the art methods. In addition, he is an author of 3 books with three of the most prestigious publishers in the field, Wiley, Springer, and CRC Press. Radislav serves on the editorial board of the Stochastic Models journal.
Books
Kroese, Dirk P., Botev, Zdravko I., Taimre, Thomas and Vaisman, Radislav (2019). Data science and machine learning: Mathematical and statistical methods. Boca Raton, FL, United States: CRC Press. doi: 10.1201/9780367816971
Rubinstein, Reuven Y, Ridder, Ad and Vaisman, Radislav (2014). Fast sequential Monte Carlo methods for counting and optimization. Hoboken, NJ, United States: John Wiley & Sons. doi: 10.1002/9781118612323
Gertsbakh, Ilya, Shpungin, Yoseph and Vaisman, Radislav (2014). Ternary networks: reliability and Monte Carlo. Heidelberg, Berlin: Springer. doi: 10.1007/978-3-319-06440-6
Book Chapter
Gertsbakh, Ilya B., Shpungin, Yoseph and Vaisman, Radislav (2018). Reliability of a network with heterogeneous components. Recent advances in multi-state systems reliability: theory and applications. (pp. 3-18) edited by Anatoly Lisnianski, Ilia Frenkel and Alex Karagrigoriou. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-63423-4_1
Journal Articles
Herr, Daniel Z., Vaisman, Radislav, Scovell, Mitchell and Kinaev, Nikolai (2025). On Alternative Monte Carlo Methods for Parameter Estimation in Gamma Process Models With Intractable Likelihood. IEEE Transactions on Reliability, 74 (1), 2118-2132. doi: 10.1109/TR.2024.3381126
Vaisman, Radislav, Scovell, Mitchell, Kinaev, Nikolai and Fernandez, Javier (2024). On the benefit of robust Bayesian confirmatory factor analysis. Structural Equation Modeling. doi: 10.1080/10705511.2024.2431981
Buist, Merel, Vaisman, Radislav and Vlasiou, Maria (2024). Improved likelihood estimation for noisy gamma degradation processes via sequential Monte Carlo. Communications in Statistics: Simulation and Computation, 1-25. doi: 10.1080/03610918.2024.2358128
Herr, Daniel Z., Vaisman, Radislav, Scovell, Mitchell and Kinaev, Nikolai (2024). On alternative Monte Carlo methods for parameter estimation in gamma process models with intractable likelihood. IEEE Transactions on Reliability, 74 (1), 1-15. doi: 10.1109/tr.2024.3381126
Yao, Hui, Crowden, Andrew and Vaisman, Radislav (2024). Ukrainization and the effect of Russian language on the web: the Google trends case study. Problems of Post-Communism, 71 (4), 309-325. doi: 10.1080/10758216.2023.2224568
Vaisman, Radislav and Gertsbakh, Ilya B. (2023). Optimal balanced chain decomposition of partially ordered sets with applications to operating cost minimization in aircraft routing problems. Public Transport, 15 (1), 199-225. doi: 10.1007/s12469-022-00304-5
Vaisman, Radislav (2021). Sequential stratified splitting for efficient Monte Carlo integration. Sequential Analysis, 40 (3), 1-22. doi: 10.1080/07474946.2021.1940493
Vaisman, Radislav (2021). Finding minimum label spanning trees using cross-entropy method. Networks, 79 (2) net.22057, 220-235. doi: 10.1002/net.22057
Vaisman, Radislav and Sun, Yuting (2021). Reliability and importance measure analysis of networks with shared risk link groups. Reliability Engineering and System Safety, 211 107578, 107578. doi: 10.1016/j.ress.2021.107578
Vaisman, Radislav (2020). Subset selection via continuous optimization with applications to network design. Environmental Monitoring and Assessment, 192 (6) 361, 361. doi: 10.1007/s10661-019-7938-6
Vaisman, Radislav and Kroese, Dirk P. (2018). On the analysis of independent sets via multilevel splitting. Networks, 71 (3), 281-301. doi: 10.1002/net.21805
Vaisman, Radislav, Roughan, Matthew and Kroese, Dirk P. (2017). The Multilevel Splitting algorithm for graph colouring with application to the Potts model. Philosophical Magazine, 97 (19), 1646-1673. doi: 10.1080/14786435.2017.1312023
Finkelstein, Maxim, Gertsbakh, Ilya and Vaisman, Radislav (2017). On a single discrete scale for preventive maintenance with two shock processes affecting a complex system. Applied Stochastic Models in Business and Industry, 33 (1), 54-62. doi: 10.1002/asmb.2218
Gertsbakh, Ilya B. and Vaisman, Radislav (2016). Resilience of finite networks against simple and combined attack on their nodes. Reliability: Theory and Applications, 11 (4 (43)), 8-18.
Vaisman, Radislav, Kroese, Dirk P. and Gertsbakh, Ilya B. (2016). Splitting sequential Monte Carlo for efficient unreliability estimation of highly reliable networks. Structural Safety, 63, 1-10. doi: 10.1016/j.strusafe.2016.07.001
Vaisman, Radislav, Botev, Zdravko I. and Ridder, Ad (2016). Sequential Monte Carlo for counting vertex covers in general graphs. Statistics and Computing, 26 (3), 591-607. doi: 10.1007/s11222-015-9546-9
Vaisman, Radislav, Kroese, Dirk P. and Gertsbakh, Ilya B. (2016). Improved sampling plans for combinatorial invariants of coherent systems. IEEE Transactions on Reliability, 65 (1) 7161416, 410-424. doi: 10.1109/TR.2015.2446471
Gertsbakh, Ilya B, Shpungin, Yoseph and Vaisman, Radislav (2015). D-spectrum and reliability of a binary system with ternary components. Probability in the Engineering and Informational Sciences, 30 (1), 25-39. doi: 10.1017/S0269964815000261
Vaisman, Radislav and Kroese, Dirk P (2015). Stochastic Enumeration Method for Counting Trees. Methodology and Computing in Applied Probability, 19 (1), 31-73. doi: 10.1007/s11009-015-9457-4
Vaisman, Radislav, Strichman, Ofer and Gertsbakh, Ilya (2015). Model counting of monotone conjunctive normal form formulas with Spectra. INFORMS Journal On Computing, 27 (2), 406-415. doi: 10.1287/ijoc.2014.0633
Gertsbakh, Ilya, Neuman, Eyal and Vaisman, Radislav (2014). Monte Carlo for estimating exponential convolution. Communications in Statistics - Simulation and Computation, 44 (10), 2696-2704. doi: 10.1080/03610918.2013.842591
Gertsbakh, Ilya, Shpungin, Yoseph and Vaisman, Radislav (2014). Network reliability Monte Carlo with nodes subject to failure. International Journal of Performability Engineering, 10 (2), 163-172.
Gertsbach, Ilya, Rubinstein, Reuven, Shpungin, Yoseph and Vaisman, Radislav (2014). Permutational methods for performance analysis of stochastic flow networks. Probability In The Engineering And Informational Sciences, 28 (1), 21-38. doi: 10.1017/S0269964813000302
Dupuis, Paul, Kaynar, Baher, Ridder, Ad, Rubinstein, Reuven and Vaisman, Radislav (2012). Counting with combined splitting and capture-recapture methods. Stochastic Models, 28 (3), 478-502. doi: 10.1080/15326349.2012.699761
Rubinstein, Reuven, Dolgin, Andrey and Vaisman, Radislav (2012). The splitting method for decision making. Communications in Statistics: Simulation and Computation, 41 (6), 905-921. doi: 10.1080/03610918.2012.625339
C'erou, Frédéric, Guyader, Arnaud, Rubinstein, Reuven and Vaisman, Radislav (2011). On the use of smoothing to improve the performance of the splitting method. Stochastic Models, 27 (4), 629-650. doi: 10.1080/15326349.2011.614188
Glynn, Peter W., Dolgin, Andrey, Rubinstein, Reuven Y. and Vaisman, Radislav (2010). How to generate uniform samples on discrete sets using the splitting method. Probability in the Engineering and Informational Sciences, 24 (3), 405-422. doi: 10.1017/S0269964810000057
Conference Papers
Moreno, Gabriel A., Strichman, Ofer, Chaki, Sagar and Vaisman, Radislav (2017). Decision-making with cross-entropy for self-adaptation. 12th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2017, Buenos Aires, Argentina, 22 - 23 May 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/SEAMS.2017.7
Shah, Rohan and Vaisman, Radislav (2016). New sampling plans for estimating residual connectedness reliability. 4th Annual International Conference on Operations Research and Statistics (ORS 2016), City of Singapore, Singapore, 18-19 January 2016. Singapore: Global Science and Technology Forum. doi: 10.5176/2251-1938_ORS16.18
Gertsbakh, Ilya B. , Shpungin, Yoseph and Vaisman, Radislav (2016). D-spectra for networks with binary and ternary components. Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO’16), Beer Sheva, Israel, 15 -18 Febuary 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/SMRLO.2016.44
Salomone, Robert, Vaisman, Radislav and Kroese, Dirk (2016). Estimating the number of vertices in convex polytopes. 4th Annual International Conference on Operations Research and Statistics (ORS 2016), 5th Annual Conference on Computational Mathematics, Computational Geometry & Statistics (CMCGS 2016), Singapore, Singapore, 18 - 19 January 2016. Singapore, Singapore: Global Science and Technology Forum. doi: 10.5176/2251-1938_ORS16.25
Botev, Zdravko I., Vaisman, Slava, Rubinstein, Reuven Y. and L’Ecuyer, Pierre (2014). Reliability of stochastic flow networks with continuous link capacities. 2014 Winter Simulation Confernce, Savannah, GA, USA, 7-10 December 2014. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/WSC.2014.7019919